Accurate data is critical for success. When data is faulty or corrupt it can negatively impact an organization’s business decisions and ultimately a businesses’ performance. That’s why it’s important to investigate data cleansing as a way to clean up “dirty” data. Below is a brief look into what data cleansing includes the types of data it can be performed on and why it’s so important.
Infographic provided by Association Analytics, learn more about data analytics software